k13 style G25 model

[vbnetkhio]

a model which gives results similar to Eurogenes K13 (for Balkanians at least)

Red_Sea:BedouinB,0.041925,0.1439232,-0.0598156,-0.1169808,-0.0093179,-0.0480622,-0.0141008,-0.0087432,0.05154,-0.0052038,0.0158689,-0.0305729,0.0629496,0.004855,0.0043959,0.0288529,-0.0199706,0.00366,-0.0040153,0.029,0.0109668,0.0152299,-0.0039166,0.0071025,-0.0083092
Siberian:Nganassan,0.0476917,-0.4066181,0.1557885,0.0023902,-0.1594452,-0.0882129,0.0285066,0.0433367,0.0310876,0.0128477, 0.1028569,0.0094115,-0.0040734,-0.0261619,-0.0219731,-0.0123307,-0.0010952,0.0134165,0.0268365,-0.0008505,0.0431363,-0.0118954,0.0336096,0.0003977,0.0135556
NE_African:Ethiopian_Afar,-0.2211963,0.1015527,-0.032935,-0.0799963,-0.0008207,-0.0348613,-0.0175477,0.001,0.1064887,-0.0620817,-0.0015157,-0.0105907,0.02002,-0.0010093,0.024113,-0.0126843,0.0097353,-0.001436,0.007123,0.0005833,0.005199,0.0090677,-0.0018897,0.0061453,-0.0035523
W_African:Mandenka,-0.6074993,0.0638654,0.0182693,0.0106949,-0.0002223,0.0090486,-0.0379544,0.0385626,-0.0308035,0.0258573,0.0050792,-0.001224,0.0194993,-0.0009938,0.0165353,-0.0121246,0.0109161,-0.0002674,-0.0019414,-0.0022025,-0.0017954,-0.0056467,0.0005958,-0.0010042,0.0014968
E_Asian:Ami,0.019236,-0.4500828,-0.047291,-0.0676685,0.1420265,0.0637265,-0.0055698,-0.0148841,-0.0225589,-0.0225791,0.0475472,0.0046758,-0.005545,-0.0019679,0.007234,0.0041103,-0.0033117,0.0049788,0.0085474,-0.0194093,0.0109056,-0.0281929,0.0025389,-0.0061091,-0.0541747
Oceanian:Nasoi,-0.0302768,-0.2709433,-0.1879192,0.1855322,0.1540901,-0.2873967,0.0033605,-0.0010153,-0.0187138,-0.0069797,0.0114321,0.0001048,-0.0008622,0.0001514,-0.0007058,-0.0018561,-0.0003129,0.0015962,0.0021369,-7.49e-05,0.0016844,-0.005317,-0.0034386,-0.0022172,-0.0131962
Amerindian:Karitiana,0.0588087,-0.320061,0.1183532,0.1083675,-0.1136622,-0.0136192,-0.3230612,-0.382484,-0.0153735,-0.017343,0.0009473,-0.0026975,-0.0016352,0.0273182,-0.0045692,0.0044197,0.0110175,0.002597,0.0001047,-0.0003543,-0.0055318,0.010902,-0.005546,-0.0025303,-0.0067858
South_asian:Brahmin_Tamil_Nadu,0.054066,-0.0482375,-0.139912,0.0983535,-0.07586,0.059125,0.001175,0.009807,0.0245425,0.018 1325,-0.0077135,-0.000824,-0.0039395,0.000413,0.006379,0.008817,0.0100395,-0.0019005,-0.001257,-0.001626,0.002558,-0.002535,0.000123,0.0021085,-0.0007785
Baltic:Baltic_EST_BA:s19_V14_2,0.142279,0.126941,0 .108611,0.124033,0.055703,0.051316,0.0094,0.026999 ,-0.009613,-0.054489,0.003897,-0.021281,0.042666,0.037296,-0.02633,-0.001989,0.008996,0.004941,0.002263,0.008504,-0.001747,-0.000989,0.007518,-0.022413,0.004071
North_Atlantic:French_Brittany,0.1314657,0.1383406 ,0.0578504,0.0392849,0.0391688,0.0158131,0.0031549 ,0.0042114,0.008186,0.0094899,-0.0051314,0.00559,-0.014368,-0.0131017,0.0183426,0.0043987,-0.0073016,0.0012795,-0.000462,0.0017727,0.0044671,0.0017868,-0.001254,0.0105465,0.0006586
West_Med:DEU_Esperstedt_MN,0.121791,0.175687,0.048 649,-0.046835,0.087093,-0.037371,-0.003055,0.008538,0.046018,0.081095,0.002111,0.016 785,-0.022448,-0.009221,-0.022801,0.012066,0.035464,0,0.008547,0.001,0.0064 89,0.003957,-0.009613,-0.0194,-0.005868
West_Asian:Georgian_Imer,0.108132,0.1332374,-0.0619988,-0.0459952,-0.0383456,-0.0089246,0.0113746,-0.0056768,-0.0639748,-0.0175312,-0.0004546,0.0130384,-0.0251532,0.0072388,0.001873,-0.0238662,0.0070668,-0.0044088,-0.0095026,0.0153074,0.0115046,0.0013602,2.46e-05,-0.0070852,-0.0017964
East_Med:Palestinian_Beit_Sahour,0.0876435,0.14674 4,-0.0541165,-0.084949,-0.0156955,-0.023148,-0.005405,-0.0050765,0.01176,0.0102965,0.00341,-0.00577,0.010927,-0.0052295,-0.004886,0.0144525,0.009844,0.0019635,-0.0001255,-0.0011255,-0.0016845,0.003895,0.0035125,0.005362,0.0033525

[vbnetkhio]

the average of 30 Serbian and Montenegrin samples in k13 vs. this model:
_North_AtlanticBalticWest_MedWest_AsianEast_MedRed _SeaSouth_asianE_AsianSiberianAmerindianOceanianne _afrw_afr
K1324.8628.0016.809.4916.491.910.330.350.690.440.4 10.140.09
this model24.1028.9016.8011.8017.100.200.100.300.400.30 0.100.000.00

[Kaspias]

Target: Kaspias_scaled
Distance: 3.2812% / 0.03281219
36.0 East_Med
23.4 North_Atlantic
18.2 Baltic
8.6 Siberian
5.0 West_Asian
4.8 West_Med
1.6 South_asian
0.8 Amerindian
0.6 E_Asian
0.6 Oceanian
0.4 W_African

Admix Results (sorted):

# Population Percent
1 East_Med 21
2 Baltic 20.37
3 North_Atlantic 15.55
4 West_Asian 14.91
5 West_Med 12.29
6 Siberian 7.57
7 Red_Sea 3.25
8 South_Asian 2.06
9 East_Asian 1.16
10 Amerindian 0.7
11 Sub-Saharan 0.61
12 Oceanian 0.53

[gixajo]

a model which gives results similar to Eurogenes K13 (for Balkanians at least)
E]

They don't look much like the actual results of the K13, but I know in advance that it is practically impossible to emulate those results using the G25 Vahaduo (Maybe you already know I have posted times ago several models trying to emulate this and others calculators of Gedmatch, and it´s difficult to get it).

Despite this, I really like some of the alternative references available on the G25 datasheet you used to emulate certain components of the k13. Congratulations for it.:thumb001:

Target: gixajo_scaled
Distance: 2.2993% / 0.02299284
62.6 North_Atlantic
29.0 West_Med
5.2 Red_Sea
1.4 West_Asian
1.2 South_asian
0.6 NE_African

Target: gixajo_dad_scaled
Distance: 2.6672% / 0.02667219
53.0 North_Atlantic
31.6 West_Med
12.8 East_Med
1.8 W_African
0.6 Red_Sea
0.2 Amerindian

Target: gixajo_mom_scaled
Distance: 3.0841% / 0.03084123
72.6 North_Atlantic
22.8 West_Med
4.2 Red_Sea
0.4 NE_African

[vbnetkhio]

They don't look much like the actual results of the K13, but I know in advance that it is practically impossible to emulate those results using the G25 Vahaduo (Maybe you already know I have posted times ago several models trying to emulate this and others calculators of Gedmatch, and it´s difficult to get it).

Despite this, I really like some of the alternative references available on the G25 datasheet you used to emulate certain components of the k13. Congratulations for it.:thumb001:

Target: gixajo_scaled
Distance: 2.2993% / 0.02299284
62.6 North_Atlantic
29.0 West_Med
5.2 Red_Sea
1.4 West_Asian
1.2 South_asian
0.6 NE_African

Target: gixajo_dad_scaled
Distance: 2.6672% / 0.02667219
53.0 North_Atlantic
31.6 West_Med
12.8 East_Med
1.8 W_African
0.6 Red_Sea
0.2 Amerindian

Target: gixajo_mom_scaled
Distance: 3.0841% / 0.03084123
72.6 North_Atlantic
22.8 West_Med
4.2 Red_Sea
0.4 NE_African

for individual results it's impossible, because g25 exagguartes admixtures in some cases (compared to k13.)
samples which get around 30% of a component will get around 40-50 of it in g25.

but for whole populations you can get pretty close, like in that example i posted above

[paradox]

Target: scaled
Distance: 2.2227% / 0.02222744
36.8 East_Med
21.2 Baltic
14.4 West_Med
13.8 North_Atlantic
12.8 West_Asian
0.8 Amerindian
0.2 Siberian

K13

East_Med 26.01
Baltic 20.79
West_Med 17
North_Atlantic 16.28
West_Asian 13.71
Red_Sea 3.35
South_Asian 1.09
Siberian 0.63
Amerindian 0.6
Oceanian 0.54
-------------------------
My father's

Target: Father_scaled
Distance: 3.4153% / 0.03415293
31.0 North_Atlantic
29.2 East_Med
22.6 Baltic
9.8 West_Med
6.8 West_Asian
0.6 Siberian

K13

North_Atlantic 25.95
Baltic 23.56
East_Med 19.35
West_Med 16.11
West_Asian 9.72
Red_Sea 3.09
Siberian 1.2
Oceanian 0.53
Amerindian 0.27
Northeast_African 0.21

[Defcon2]

Target: Juan_scaled
Distance: 3.7707% / 0.03770721
52.8 North_Atlantic
31.4 West_Med
6.0 East_Med
4.2 South_asian
2.2 W_African
2.0 NE_African
0.8 West_Asian
0.6 E_Asian

[Pedro Ruben]

Target: Pedro_scaled
Distance: 2.8160% / 0.02815956
62.9 North_Atlantic
17.7 West_Med
7.0 NE_African
5.3 Red_Sea
3.5 East_Med
1.6 W_African
1.4 West_Asian
0.6 Amerindian

Target: Dad_scaled
Distance: 3.3497% / 0.03349654
59.3 North_Atlantic
23.2 West_Med
8.3 Red_Sea
4.8 NE_African
3.3 W_African
0.6 E_Asian
0.5 Amerindian

Target: Mom_scaled
Distance: 2.1933% / 0.02193289
62.0 North_Atlantic
24.9 West_Med
7.3 NE_African
2.6 East_Med
1.6 West_Asian
1.1 W_African
0.5 Amerindian

[alnortedelsur]

Target: Alnortedelsur_scaled
Distance: 3.3471% / 0.03347094
47.6 North_Atlantic
19.6 West_Med
8.2 East_Med
7.6 West_Asian
6.6 Amerindian
4.6 NE_African
4.2 W_African
1.6 Red_Sea



Distance to: Alnortedelsur_scaled
0.10079214 North_Atlantic:French_Brittany
0.14595755 East_Med:Palestinian_Beit_Sahour
0.15693724 West_Med:DEU_Esperstedt_MN
0.16874545 West_Asian:Georgian_Imer
0.20075065 Red_Sea:BedouinB
0.22255204 Baltic:Baltic_EST_BA:s19_V14_2
0.29143175 South_asian:Brahmin_Tamil_Nadu
0.34117825 NE_African:Ethiopian_Afar
0.58861452 Oceanian:Nasoi
0.59154796 Siberian:Nganassan
0.60123771 E_Asian:Ami
0.67016640 Amerindian:Karitiana
0.68660931 W_African:Mandenka


My Eurogenes K13:

North_Atlantic 31.92 Pct
Baltic 9.55 Pct
West_Med 21.67 Pct
West_Asian 4.38 Pct
East_Med 15.13 Pct
Red_Sea 3.18 Pct
South_Asian -
East_Asian -
Siberian 0.82 Pct
Amerindian 6.51 Pct
Oceanian -
Northeast_African 1.06 Pct
Sub-Saharan 5.78 Pct

[Leto]

Target: Leto_scaled
Distance: 2.4291% / 0.02429096
48.2 Baltic
30.2 North_Atlantic
12.2 East_Med
5.2 Siberian
2.4 West_Asian
1.2 Amerindian
0.6 E_Asian

[Dunai]

For me it works very well with good distance, it's a very interesting alternative to the normal K13 results:

Target: Dunai
Distance: 1.5467% / 0.01546660
43.8 North_Atlantic
26.6 Baltic
11.0 West_Asian
9.6 West_Med
5.0 East_Med
2.0 Siberian
1.6 E_Asian
0.2 Amerindian
0.2 Oceanian

[Ion Basescul]

Target: IonBasescul_23andme+LivingDNA
Distance: 2.6866% / 0.02686562
31.6 Baltic
21.8 North_Atlantic
16.0 East_Med
15.6 West_Med
10.0 West_Asian
3.2 Siberian
1.4 E_Asian
0.4 South_asian


<table class="wysiwyg_dashes" verdana,="" arial,="" tahoma,="" calibri,="" geneva,="" sans-serif;"="" width=""><tbody></tbody></table><google-sheets-html-origin rgb(0,="" 0,="" 0);="" font-size:="" medium;"="">
<colgroup><col style="width: 156px;"><col width="68"><col width="39"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"><col width="70"><col width="54"><col width="74"><col width="60"><col width="74"><col width="80"></colgroup><tbody>
Test
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


ActualK13_23andmev4+MyHeritage+LDNA
25.47
29.48
15.06
9.86
12.89
1.53
0.63
1.83
2.85
0
0.40
0
0


ActualK13_MyHeritage
23.53
30.47
15.75
11.25
12.26
1.47
0.66
1.12
2.34
0.10
1.05
0
0

</tbody>
</google-sheets-html-origin>

Your model seems to underestimate North Atlantic and overestimate Baltic and East Med.

[Leto]

For me it works very well with good distance, it's a very interesting alternative to the normal K13 results:

Target: Dunai
Distance: 1.5467% / 0.01546660
43.8 North_Atlantic
26.6 Baltic
11.0 West_Asian
9.6 West_Med
5.0 East_Med
2.0 Siberian
1.6 E_Asian
0.2 Amerindian
0.2 Oceanian
Your Mongoloid is quite notable, I'd say. Close to 4%.

[Dunai]

Your Mongoloid is quite notable, I'd say. Close to 4%.

Yeah, even though my percentages still are pretty close to average Hungarians:

Target: Hungarian
Distance: 1.4557% / 0.01455675
44.8 North_Atlantic
29.2 Baltic
12.6 East_Med
7.6 West_Med
4.2 West_Asian
1.4 Siberian
0.2 Amerindian

[vbnetkhio]

Target: IonBasescul_23andme+LivingDNA
Distance: 2.6866% / 0.02686562
31.6 Baltic
21.8 North_Atlantic
16.0 East_Med
15.6 West_Med
10.0 West_Asian
3.2 Siberian
1.4 E_Asian
0.4 South_asian


<table class="wysiwyg_dashes" verdana,="" arial,="" tahoma,="" calibri,="" geneva,="" sans-serif;"="" width=""><tbody></tbody></table><google-sheets-html-origin rgb(0,="" 0,="" 0);="" font-size:="" medium;"="">
<colgroup><col style="width: 156px;"><col width="68"><col width="39"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"><col width="70"><col width="54"><col width="74"><col width="60"><col width="74"><col width="80"></colgroup><tbody>
Test
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


ActualK13_23andmev4+MyHeritage+LDNA
25.47
29.48
15.06
9.86
12.89
1.53
0.63
1.83
2.85
0
0.40
0
0


ActualK13_MyHeritage
23.53
30.47
15.75
11.25
12.26
1.47
0.66
1.12
2.34
0.10
1.05
0
0

</tbody>
</google-sheets-html-origin>

Your model seems to underestimate North Atlantic and overestimate Baltic and East Med.

yeah, I couldn't find a sample which gives lower East Med. It always swallows all the Red Sea.
for North Atlantic, depends on the person. look at Dunai's results.

[GalenStark]

Target: Galenstark
Distance: 3.3880% / 0.03388006
40.8 West_Med
24.8 West_Asian
16.2 Baltic
15.0 East_Med
3.0 North_Atlantic
0.2 Amerindian

[Dušan]

Target: Dušan_g25
Distance: 2.1938% / 0.02193845
36.4 Baltic
18.2 West_Med
18.0 North_Atlantic
14.4 East_Med
11.2 West_Asian
1.8 Siberian

[Beowulf]

Target: Beowulf_Scaled
Distance: 0.0136% / 0.01364487
63.8 North_Atlantic
19.9 West_Med
9.2 East_Med
4.0 West_Asian
2.1 Baltic
0.8 South_asian
0.2 NE_African

Target: Beowulf_Scaled
Distance: 0.0146% / 0.01460097 | ADC: 0.25x
71.0 North_Atlantic
16.5 West_Med
11.1 East_Med
1.4 West_Asian

[PaulieVanZant]

Target: Stahl
Distance: 1.6253% / 0.01625265
86.8 North_Atlantic
13.0 Baltic
0.2 Siberian

[PaulieVanZant]

Double post.

[Dušan]

Target: Dušan_g25
Distance: 2.1938% / 0.02193845
36.4 Baltic
18.2 West_Med
18.0 North_Atlantic
14.4 East_Med
11.2 West_Asian
1.8 Siberian

Comparing with real coordinates:


Target: Dušan_scaled
Distance: 3.4537% / 0.03453680
35.8 Baltic
23.4 West_Med
21.0 West_Asian
14.2 North_Atlantic
4.0 East_Med
1.6 Siberian

[celticdragongod]

Distance to: CDG_scaled
0.02452252 North_Atlantic:French_Brittany
0.15320657 Baltic:Baltic_EST_BA:s19_V14_2
0.17668176 West_Med:DEU_Esperstedt_MN
0.20152370 West_Asian:Georgian_Imer
0.20398451 East_Med:Palestinian_Beit_Sahour
0.26636842 Red_Sea:BedouinB
0.31692945 South_asian:Brahmin_Tamil_Nadu
0.41800912 NE_African:Ethiopian_Afar
0.61816062 Siberian:Nganassan
0.62017522 Oceanian:Nasoi
0.63597569 E_Asian:Ami
0.71353405 Amerindian:Karitiana
0.75348866 W_African:Mandenka

Target: CDG_scaled
Distance: 2.1342% / 0.02134192
92.4 North_Atlantic:French_Brittany
7.2 Baltic:Baltic_EST_BA:s19_V14_2
0.4 Siberian:Nganassan

[Eurafricanid]

Target: Eurafricanid-EU
Distance: 1.9508% / 0.01950832
53.4 North_Atlantic
26.2 West_Med
7.0 West_Asian
6.8 Red_Sea
5.6 East_Med
0.6 South_asian
0.4 Amerindian


Distance to: Eurafricanid-EU
0.06866716 North_Atlantic:French_Brittany
0.11438936 West_Med:DEU_Esperstedt_MN
0.13921252 East_Med:Palestinian_Beit_Sahour
0.16509507 West_Asian:Georgian_Imer
0.20630348 Red_Sea:BedouinB
0.21049164 Baltic:Baltic_EST_BA:s19_V14_2
0.31685198 South_asian:Brahmin_Tamil_Nadu
0.38580488 NE_African:Ethiopian_Afar
0.61616292 Oceanian:Nasoi
0.62898976 Siberian:Nganassan
0.63517225 E_Asian:Ami
0.69148727 Amerindian:Panama_IsthmoColombian_PreColonial.SG
0.72177660 Amerindian:Karitiana
0.73790404 W_African:Mandenka